TuftsBCB / RegDiffusionLinks
Diffusion model for gene regulatory network inference.
☆24Updated 5 months ago
Alternatives and similar repositories for RegDiffusion
Users that are interested in RegDiffusion are comparing it to the libraries listed below
Sorting:
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆33Updated 5 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆124Updated last year
- ☆69Updated 2 months ago
- ☆67Updated 5 months ago
- ☆38Updated last week
- ☆63Updated 2 years ago
- ☆34Updated 8 months ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆58Updated 5 months ago
- pytorch dataloaders for single-cell perturbation data☆38Updated 2 weeks ago
- Modeling complex perturbations with CellFlow☆104Updated last week
- ☆14Updated last year
- Functional and Learnable Cell dynamicS☆19Updated 7 months ago
- ☆88Updated last year
- scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism☆18Updated last year
- SIMBA: SIngle-cell eMBedding Along with features☆66Updated last year
- Comprehensive suite for evaluating perturbation prediction models☆113Updated last week
- ☆87Updated 2 years ago
- ☆61Updated last year
- ☆97Updated last month
- Unsupervised Deep Disentangled Representation of Single-Cell Omics☆57Updated this week
- A simulator for single-cell expression data guided by gene regulatory networks☆72Updated last year
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- repository containing analysis scripts and auxiliary files☆36Updated 5 years ago
- 🏃 The go-to single-cell Foundation Model☆126Updated last week
- ☆27Updated 11 months ago
- TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…☆25Updated 3 years ago
- ☆33Updated 5 years ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆158Updated 10 months ago
- Single-cell perturbation effects prediction benchmark☆42Updated 5 months ago
- Models and datasets for perturbational single-cell omics☆171Updated 3 years ago